Reference : Coverage optimization with connectivity preservation for UAV swarms applying chaotic ...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/31935
Coverage optimization with connectivity preservation for UAV swarms applying chaotic dynamics
English
Rosalie, Martin mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Brust, Matthias mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Danoy, Grégoire mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Chaumette, Serge mailto [Université de Bordeaux > LaBRI, UMR5800]
Bouvry, Pascal mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
11-Aug-2017
IEEE International Conference on Autonomic Computing (ICAC), Columbus 17-21 July 2017
113-118
Yes
International
IEEE International Conference on Autonomic Computing (ICAC)
from 2017-07-17 to 2017-07-21
[en] cooperative UAV ; multilevel swarm ; mobility model ; ant colony optimization ; chaotic dynamics
[en] Cooperative usage of multiple UAVs as a swarm can deliver high-quality surveillance performance. However, the communication capabilities within the UAV swarm must be maintained for local data propagation to swarm members in favor of achieving an efficient global behavior. In this paper, we address the problem of optimizing two adversary criteria for such a UAV swarm: (a) maximizing the area coverage, while (b) preserving network connectivity. Our approach, called CACOC², solves the problem with a novel chaotic ant colony optimization approach, which combines an Ant Colony Optimization approach (ACO) with a chaotic dynamical system. CACOC² employs swarming behavior to obtain UAV clustering that result in maximized area coverage and preserved network connectivity. We show by extensive simulations how the size of the UAV swarm influences the coverage and connectivity. A metrics comparison chart shows the correlation of coverage and connectivity metrics.
University of Luxembourg: High Performance Computing - ULHPC
Researchers
http://hdl.handle.net/10993/31935
10.1109/ICAC.2017.26

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